Top Research Jobs in Calgary

Conduct research on AI accelerator architectures and semiconductor supply chains to assess power, cooling, and infrastructure implications. Monitor data-center build-outs and industry disclosures, synthesize findings into written briefs and competitive-intelligence products, and ground analysis using Enverus energy datasets.

Conduct primary and secondary research on power demand from data centers, monitor regulatory filings and interconnection queues, build and audit financial Excel models, synthesize findings into concise briefs and data tables, support senior analysts on large projects, and use Enverus proprietary datasets (PRISM) to ground research.

Manages, monitors, and closes assigned clinical trial sites, ensuring patient safety, protocol compliance, data quality, regulatory adherence, and timely study delivery. Responsibilities include site relationship management, recruitment support, onsite and remote monitoring, adverse event follow-up, investigational product oversight, issue resolution, audit and CAPA support, reporting, and database release. The role also mentors clinical research associates, supports site activation and feasibility activities, and participates in process improvement initiatives.

Manages, monitors, and closes assigned clinical trial sites from initiation through database lock. Ensures patient safety, protocol compliance, data quality, regulatory adherence, recruitment progress, investigational product accountability, and timely issue resolution. Serves as the primary site contact, conducts onsite and remote monitoring, supports audits and CAPA activities, trains site personnel, resolves data queries, and collaborates with investigators, vendors, drug safety teams, and study stakeholders. The role also mentors Clinical Research Associates and contributes to process improvement initiatives.

Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.

Leads quantitative investment research supporting total portfolio construction, asset allocation, tactical positioning, risk decomposition, stress testing, and investment committee decisions. Builds reproducible Python-based research infrastructure, models, dashboards, and governance processes across public and private assets. Advises senior investment leaders, mentors quantitative analysts, translates macroeconomic evidence into portfolio recommendations, and maintains scorecards for tactical decisions and model performance.

Conduct research for an AI-for-science benchmark by validating AI-generated paper reproductions, simulations, and results; mapping research areas; defining evaluation standards; creating benchmark tasks; and contributing to a publicly released paper and evaluation set as a lead or first author.

Conduct applied research on foundation models for real-time fraud detection using large-scale behavioral and sequential data. Design experiments, benchmarks, holdouts, and monitoring systems; develop models from data preparation through deployment; and optimize training and inference efficiency. Collaborate with engineering, client-facing teams, legal, compliance, and customers to productionize models and establish explainability, governance, and risk documentation.

Conducts qualitative research by designing studies, coding interview and focus group transcripts, verifying transcript accuracy, analyzing themes, and integrating qualitative findings with quantitative data. Maintains coding pipelines, refines codebooks, documents inter-rater reliability, prepares client-ready reports and visualizations, develops case study materials, and supports de-identified dataset construction. The role also contributes to proposals, client engagement, methodological strategy, and research deliverables.

Explore large-scale AI evaluation datasets, identify patterns, biases, and causal relationships, and design experiments to understand model behavior. Build reproducible analysis pipelines with Python, Pandas, NumPy, and Spark; develop statistical and causal inference frameworks; partner with ML researchers and engineers; and communicate findings to technical and non-technical stakeholders.

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

Coordinates clinical research site selection and feasibility activities, including identifying investigators, evaluating questionnaires, recommending sites, coordinating qualification visits, and tracking activities in a CTMS. Builds relationships with clinical research sites, supports site quality assessments, collaborates with sponsors and project teams, and contributes to departmental initiatives. Requires at least three years of clinical research experience, knowledge of good clinical practices and Health Canada and FDA guidelines, and strong English communication skills; French and dermatology experience are assets.

Tracks and reports project profitability, budgets, revenues, expenses, forecasts, invoicing, and financial variances. Configures projects and budgets in financial systems, prepares journal entries and project reports, supports audits, advises project teams on cost control, and coordinates financial reviews with project managers and clients. The role also identifies process improvements and ensures accurate project financial records and account reconciliations.

Supports budgeting, forecasting, variance analysis, cash-flow management, financial modeling, and recurring reporting across corporate and site-level cost centers. Builds dashboards and KPI tracking, maintains shared financial models, partners with operational and clinical leaders, and contributes to integrated P&L, balance sheet, and cash-flow modeling. The role also helps automate reporting and establish FP&A processes and best practices.

Leads AI R&D initiatives, managing cross-functional teams, project scope, resources, schedules, risks, roadmaps, and requirements. Partners with the AI Director, coordinates teams across North America and Europe, removes delivery blockers, improves production processes, and maintains external partnerships. The role emphasizes team empowerment, Agile collaboration, communication, analytical problem-solving, and delivery of AI, research, or game-development projects.

Create monthly investor insights, investment materials, financial planning content, and timely market notes for Wealthsimple clients. Research market developments, synthesize complex investment concepts into clear and engaging writing, exercise editorial judgment, and use AI tools to refine standard content. The role partners with investment and editorial teams while requiring strong financial literacy, investment judgment, curiosity, independence, and familiarity with Canadian wealth management or retail investment products.

Lead generative UX and market research to identify emerging opportunities, assess markets, define ICPs and value propositions, and shape product and business strategy. Influence senior leaders, partner with analytics, product, design, marketing, sales, and client services, and translate insights into investment and go-to-market decisions. Coach researchers, improve UXR processes, and integrate AI into scalable research workflows.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Lead, coach, and grow a team of UX researchers supporting Stripe Payments and Risk products. Conduct and guide mixed-methods research, translate user insights into product strategy, establish research programs and infrastructure, and enable cross-functional teams to apply research practices. Partner with product, design, business, and executive leaders while guiding AI-driven improvements to research processes and sourcing external research vendors.

Develop experimental AI techniques for agentic marketing applications, especially image and video generation. Build proofs of concept, autonomous evaluation and improvement systems, realistic AI-generated video, and brand-aligned creative generation workflows. The role requires strong quantitative and probabilistic thinking, backend architecture skills, creativity with LLM applications, and product intuition.

Manage full-cycle recruiting, including sourcing, screening, interviews, candidate communication, offers, background checks, and onboarding transitions. Partner with hiring managers to define recruitment needs and strategies, maintain applicant tracking systems, support employer branding and social media initiatives, produce recruiting analytics, and lead talent acquisition projects. The role requires bilingual French and English communication, HR knowledge, confidentiality, and familiarity with clinical practices and Health Canada and FDA guidelines.

Lead design and development of advanced medical image processing algorithms and integration frameworks, implement automated workflows, collaborate with engineering, product, regulatory, and QA teams, develop and document validation strategies for regulatory initiatives, and provide technical guidance, code reviews, and mentorship to the software development team.

Build and own ML infrastructure for distributed training, inference, experiment tracking, model registries, and CI/CD. Enable active-learning and closed-loop optimization, collaborate with computational scientists, and mentor colleagues to translate research prototypes to production-grade systems.

Leads portfolios of dermatology and rheumatology clinical studies, overseeing Project Managers, budgets, vendors, timelines, quality, regulatory compliance, risk mitigation, client relationships, and proposal development. The role manages multinational Phase III trials and provides therapeutic and operational leadership across study teams.

Graduate research interns will own end-to-end projects developing customer world models and proactive intelligence. Work spans representation learning, foundation models, reinforcement learning, agentic decision systems, and evaluation. Tasks include designing methods, running experiments, publishing findings, and potentially shipping models into production to impact customer-facing products.